1341 Chapters
Medium 9781601322500

Evaluation of Modulo in a Multi-Channel 802.11 Wireless Network

Hamid R. Arabnia; Victor A. Clincy; Leonidas Deligiannidis; George Jandieri; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

Int'l Conf. Wireless Networks | ICWN'13 |

213

Evaluation of Modulo in a Multi-Channel 802.11

Wireless Network

Dr A. Paraskelidis, Dr Mo Adda.

Pervasive Computing Research Group, School of Computing, University of Portsmouth, Portsmouth,

United Kingdom.

Abstract - Since the introduction of the IEEE 802.11 standard, researchers have moved from the concept of deploying a single channel and proposed the u tilisation of multiple channels within a wireless network. This new scheme posed a new problem, the ability to coordinate the various channels and the majority of the proposed works focus on mechanisms that would reduce the adjacent channel interference caused by the use of partially overlapping channels. The proposed idea in this paper borrows the concept of network segregation, firstly introduced for security purposes in wired networks, by dividing a wireless network into smaller independent subnetworks and in collaboration with a channel assignment, the Modulo. Modulo defines a set of rules that nodes should obey to when they transmit data.

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Medium 9781601322586

Cost-effective Cloud Services for HPC in the Cloud: The IaaS or The HaaS?

Hamid R. Arabnia; Hiroshi Ishii; Minoru Ito; Hiroaki Nishikawa; Fernando G. Tinetti; George A. Gravvanis; George Jandieri; and Ashu M. G. Solo (Editors) Mercury Learning and Information PDF

Int'l Conf. Par. and Dist. Proc. Tech. and Appl. | PDPTA'13 |

223

Cost-effective Cloud Services for HPC in the Cloud: The IaaS or

The HaaS?

Ifeanyi P. Egwutuoha1 , Shiping Chen2 , David Levy1 , and Rafael Calvo1

1 School of Electrical & Information Engineering, The University of Sydney, Australia

Email: {ifeanyi.egwutuoha, david.levy, rafael.calvo}@sydney.edu.au

2 Information Engineering Laboratory, CSIRO ICT Centre, Australia

Email: shiping.chen@csiro.au

Abstract— In the scientific research domain, traditional

High Performance Computing (HPC) refers to the use of supercomputers, grid environments and/or clusters of computers to solve computation-intensive and/or data-intensive problems. The traditional HPC systems are expensive and sometimes require huge start-up investment, technical and administrative support and job queuing. With the benefits of cloud computing, cloud services such as Infrastructure as a

Service (IaaS) and Hardware as a Service (HaaS), enables scientists and researchers to run their HPC applications in the cloud without upfront investment associated with the traditional HPC infrastructure. In this paper we analyze the computational performance and dollar cost of running

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Medium 9781601322586

A Highly Extensible Framework for Molecule Dynamic Simulation on GPUs

Hamid R. Arabnia; Hiroshi Ishii; Minoru Ito; Hiroaki Nishikawa; Fernando G. Tinetti; George A. Gravvanis; George Jandieri; and Ashu M. G. Solo (Editors) Mercury Learning and Information PDF

Int'l Conf. Par. and Dist. Proc. Tech. and Appl. | PDPTA'13 |

539

A Highly Extensible Framework for Molecule Dynamic Simulation on GPUs

Xiao Zhang1 , Wan Guo1 , Xiao Qin2 and Xiaonan Zhao1

1 School of Computer Science Northwestern Polytechnical University 127 Youyi xi Road, Xi’an Shaanxi China

2 Department of Computer Science and Software Engineering Auburn University, AL 36849-5347

E-mail: zhangxiao@nwpu.edu.cn;xilouyouki@163.com;xqin@auburn.edu;zhaoxn@nwpu.edu.cn

Abstract— Molecular dynamics (MD) was widely used in chemistry and bio molecules. Numerous attempts have been made to accelerate MD simulations. CUDA enabled NVIDIA

Graphics processing units (GPUs) use as a general purpose parallel computer chips as CPU. But it is not easy to port a program to GPU. We present a highly extensible framework for molecular dynamics simulation. And we discuss how to accelerate the process of port to GPU. We introduce how to find the performance battle and how to port the time costly procedure to GPU. We discuss about how to decrease the memory usage in GPU and how to improve the maintenance of molecular dynamics simulation. At last, we present the performance of linear and parallel simulation with different number of molecules. Source codes can be found at https://github.com/orlandoacevedo/MCGPU.

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Medium 9781601322593

Feature Reduction for Optimum SMS Spam Filtering Using Domain Knowledge

Kevin Daimi; Hamid R. Arabnia; Michael R. Grimaila; Kathy Liszka; George Markowsky; and Ashu M. G. Solo (Editors) Mercury Learning and Information PDF

Int'l Conf. Security and Management | SAM'13 |

477

Feature Reduction for Optimum SMS Spam Filtering

Using Domain Knowledge

Ala’ Eshmawi and Suku Nair

Bobby Lyle School of Engineering

HACNet Labs

Southern Methodist University

Dallas, Texas 75275 aeshamwi,snair@smu.edu

Abstract—Most of the work done towards content-based

SMS spam filtering has suggested the use of Bag of Words, word or character n-gram models, which can result on a huge number of features. In this paper, we study the possibility of using the minimal number of optimal features to classify SMS spam messages by introducing new features based on domain knowledge. Our experimental studies show that, by using our smaller set of features along with lighter models, the results achieved outperform BoW approaches that use dozens of features.

The goal of our study is to enhance the performance of SMS classification when applied in a limited resource mobile devices.

Keywords—SMS Spam; SMishing; BART; CART; Feature Selection; Classification Optimization

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Medium 9781601322371

Generation and Rendering of Fractal Terrains on Approximated Spherical Surfaces

Hamid R. Arabnia; Leonidas Deligiannidis; and Ashu M. G. Solo (Editors) Mercury Learning and Information PDF

Int'l Conf. Computer Graphics and Virtual Reality | CGVR'13 |

43

Generation and Rendering of Fractal Terrains on Approximated

Spherical Surfaces

J. M. Willemse and K. A. Hawick

Computer Science, Institute of Natural and Mathematical Sciences

Massey University, Albany, New Zealand email: { j.m.willemse, k.a.hawick }@massey.ac.nz

Tel: +64 9 414 0800 Fax: +64 9 441 8181

Abstract— Terrain modelling and rendering is an important aspect of modern computer games, computer generated scene rendering in movies and is also used in scientific simulations and geographic modelling. Rendering a planetary surface without polar geometry issues has long been a difficult problem, and this is exacerbated when simulation models need approximately smooth and equal areas. We have developed a terrain approximation algorithm suited for planetary surfaces, that achieves a reasonably uniform spherical approximation by combining polyhedral subdivision and midpoint displacement. We give details of the algorithm and some examples of its use.

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